Computer program, activity support device and activity support method

Abstract

To provide a computer program, an activity support device, and an activity support method capable of providing an activity support to an object person to compensate a risk or difficulty in daily life, from a result of a cognitive function test of the object person.SOLUTION: A computer program implemented by a computer includes the steps of: obtaining area information for an activity area of an object person; obtaining evaluation information regarding a daily activity of the object person; and outputting activity support service information for the object person according to the obtained area information and evaluation information.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a computer program, an activity support device, and an activity support method. [Background technology]

[0002] In recent years, the aging of the population has led to an increase in the number of people with dementia and those at risk of developing dementia (mild cognitive impairment). Dementia is said to be a brain disease that anyone can develop. The four major diseases that cause dementia are Alzheimer's disease (AD), dementia with Lewy bodies (DLB), vascular dementia, and frontotemporal lobar degeneration (FTLD). Other diseases, such as multiple sclerosis (MS), also cause various neurological symptoms, including dementia.

[0003] To understand the state of cognitive function, one generally needs to visit a medical institution and undergo appropriate neuropsychological testing. However, early detection of dementia is important, and various tools have been developed to easily test cognitive function in people who are unaware of their cognitive decline.

[0004] Patent Document 1 discloses a simple cognitive function testing device that switches the display mode of an answer image for answering a question word when the question word displayed on the display device is switched. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2024-237 Summary of the Invention [Problem to be solved by the invention]

[0006] However, simple cognitive function tests alone only serve to assist in the diagnosis of cognitive function objectively. Based on the results of the cognitive function test, it is desirable to provide activity support to the subject to compensate for risks and obstacles in daily life in order to prepare for their future life.

[0007] The present invention has been made in consideration of the above circumstances, and aims to provide a computer program, an activity support device, and an activity support method that can provide activity support to a subject to compensate for risks and obstacles in their daily lives based on the results of the subject's cognitive function test. [Means for solving the problem]

[0008] The present application includes multiple means for solving the above-mentioned problems, and as one example, a computer program causes a computer to execute a process of acquiring regional information on the subject's activity area, acquiring evaluation information on the subject's daily activities, and outputting activity support service information for the subject based on the acquired regional information and evaluation information. [Effects of the Invention]

[0009] According to the present invention, based on the results of a cognitive function test of a subject, activity support can be provided to the subject to compensate for risks and obstacles in daily life. [Brief explanation of the drawings]

[0010] [Figure 1] 1 is a diagram illustrating an example of a configuration of an activity support system according to an embodiment of the present invention. [Figure 2] FIG. 10 is a diagram illustrating an example of region information of a subject. [Figure 3] FIG. 10 is a diagram illustrating an example of subject information. [Figure 4] FIG. 10 is a diagram showing an example of registration information for an activity support service. [Figure 5] FIG. 1 is a diagram showing an overview of a cognitive function test using an activity support device. [Figure 6]FIG. 10 is a diagram showing an example of a recommendation of an activity support service based on the results of a cognitive function test. [Figure 7] FIG. 10 is a diagram showing an outline of a questionnaire conducted by the activity support device. [Figure 8] FIG. 10 is a diagram showing an example of a recommendation of an activity support service based on a questionnaire result. [Figure 9] FIG. 1 is a diagram showing an outline of a medical interview performed by an activity support device. [Figure 10] FIG. 10 is a diagram showing an example of a recommendation of an activity support service based on a medical interview result. [Figure 11] FIG. 10 is a diagram illustrating an example of a method for determining the display order of questionnaires by the activity support device. [Figure 12] FIG. 10 is a diagram illustrating an example of a method for identifying an activity support service using a learning model. [Figure 13] FIG. 10 is a diagram illustrating an example of a method for generating a learning model that identifies an activity support service. [Figure 14] FIG. 10 is a diagram illustrating an example of a method for estimating survey results using a learning model. [Figure 15] FIG. 10 is a diagram illustrating an example of a method for generating a learning model for estimating survey results. [Figure 16] FIG. 10 is a diagram showing an example of a method for estimating cognitive ability scores for each cognitive function domain using a learning model. [Figure 17] FIG. 10 is a diagram illustrating an example of a method for generating a learning model that estimates cognitive ability scores for each cognitive function domain. [Figure 18] FIG. 10 is a diagram illustrating an example of a method for identifying questionnaire content using a learning model. [Figure 19] FIG. 10 is a diagram illustrating an example of a method for generating a learning model that identifies the content of a questionnaire. [Figure 20] FIG. 10 is a diagram illustrating an outline of regional analysis information. [Figure 21] FIG. 10 is a diagram illustrating an example of a method for displaying regional analysis information. [Figure 22] FIG. 10 is a diagram showing an example of an operation by a subject using a subject terminal device. [Figure 23] FIG. 10 is a diagram illustrating an example of a processing procedure performed by the activity support device. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Fig. 1 is a diagram showing an example of the configuration of an activity support system according to this embodiment. The activity support system includes an activity support device 50. Devices 10, 10, a subject terminal device 20, and a data server 30 are connected to the activity support device 50 via a communication network 1.

[0012] The device 10 includes a wearable device worn by the subject, a camera or an AI robot that monitors the subject's daily life, and detects data related to the subject's cognitive function (e.g., physical function, motor function, language function, etc.). For example, the subject can voluntarily (consciously) wear the wearable device to acquire data related to their own cognitive function. Alternatively, a camera or an AI robot can be installed in a location where the subject's daily life can be monitored (e.g., a bathroom, bedroom, hallway, living room, etc.), allowing data related to the subject's cognitive function to be acquired unconsciously. The device 10 transmits the detected data together with the subject's identification information (e.g., a subject ID, etc.) to the data server 30 or the activity support device 50. The data server 30 or the activity support device 50 can store the data detected by the device 10 for each subject, in association with the subject's ID.

[0013] The activity support device 50 can be configured with a server or the like, and includes a control unit 51 that controls the entire device, a communication unit 52, a memory 53, and a storage unit .

[0014] The control unit 51 may be configured by incorporating a required number of central processing units (CPUs), micro-processing units (MPUs), graphics processing units (GPUs), etc. The control unit 51 may also be configured by combining digital signal processors (DSPs), field-programmable gate arrays (FPGAs), etc.

[0015] The communication unit 52 includes a communication module and has a function of communicating with the devices 10, 10, the subject terminal device 20, and the data server 30 via the communication network 1.

[0016] The storage unit 54 may be configured with a semiconductor memory, a hard disk, or the like, and stores a computer program 55 (program product), a learning model 56, and required information. The computer program 55 may be stored in the storage unit 54 by reading the computer program 55 recorded on a recording medium (for example, an optically readable disk storage medium such as a CD-ROM) M using a recording medium reading unit (not shown). The computer program 55 may also be downloaded from an external device via the communication unit 52 and stored in the storage unit 54. Details of the learning model 56 will be described later.

[0017] The memory 53 can be configured with a semiconductor memory such as a static random access memory (SRAM), a dynamic random access memory (DRAM), or a flash memory. A computer program 55 can be loaded into the memory 53, and the control unit 51 can execute the computer program 55. The control unit 51 can execute processing defined by the computer program 55. In other words, the processing by the control unit 51 is also processing by the computer program 55.

[0018] Subject terminal device 20 is a terminal device used by the subject, and can be configured as, for example, a tablet terminal, a smartphone, a personal computer, etc. Using subject terminal device 20, the subject (1) inputs local information about the subject's (the subject's) activity area, (2) inputs subject information about the subject, (3) conducts a simple cognitive function test displayed on subject terminal device 20, (4) answers a questionnaire displayed on subject terminal device 20, and (5) answers a medical interview displayed on subject terminal device 20, whereby activity support device 50 displays activity support service information for the subject on subject terminal device 20, and the subject can receive information about the activity support service.

[0019] The activity support device 50 can acquire area information of the subject's activity area and subject information from the subject terminal device 20. Furthermore, the activity support device 50 transmits information for conducting a cognitive function test to the subject terminal device 20, and when the subject conducts the cognitive function test, the activity support device 50 can acquire the cognitive function test results from the subject terminal device 20. Furthermore, the activity support device 50 transmits the contents of a questionnaire and medical interview to the subject terminal device 20, and when the subject responds to the questionnaire and medical interview, the activity support device 50 can acquire the questionnaire results and medical interview results from the subject terminal device 20.

[0020] FIG. 2 is a diagram showing an example of the subject's area information. The subject's area of ​​activity is, for example, a residential district (residential area), but is not limited to a residential area and may include places frequently visited on a daily basis or places where the subject temporarily stays. The area information is information that can identify the location or location of the subject's area of ​​activity, and may be, for example, the name of a local government, city, town, or village, or an address. The subject may input the area information into the subject's terminal device 20, or may use the subject's terminal device 20 to read a two-dimensional code provided at a predetermined location (e.g., a government office, post office, bank, public facility, etc.) and identify the area information from a uniform resource locator (URL), etc. In addition, the area information may be identified based on the location information of the subject's terminal device 20 using a location information detection function provided in the subject's terminal device 20, or may be identified by transitioning from an operation screen of the subject's terminal device 20 that is pre-designated for a specific area.

[0021] FIG. 3 is a diagram showing an example of subject information. The subject information includes, for example, the subject's age, sex, whether they live alone or not (whether they live alone or not), etc. The subject can input the subject information into the subject terminal device 20. In addition, the subject ID and the subject information can be associated and registered in advance and stored in the storage unit 54 of the activity support device 50, and when the subject logs in from the subject terminal device 20, the activity support device 50 can acquire the subject information corresponding to the input subject ID simply by inputting the subject ID.

[0022] FIG. 4 is a diagram showing an example of registration information for activity support services. The activity support device 50 stores the registration information for activity support services in the storage unit 54. The registration information for activity support services is information that associates multiple activity support services provided in each activity area (e.g., residential district) with each activity area. For example, in activity area A, activity support services A1, A2, A3, A4, A5, etc. can be provided; in activity area B, activity support services B1, B2, B3, B4, B5, etc. can be provided; and in activity area C, activity support services C1, C2, C3, C4, C5, etc. can be provided. For convenience, symbols A, B, C, etc. are used. For example, if the subject's activity area is A, the activity support device 50 can identify an appropriate activity support service for the subject from multiple activity support services A1, A2, A3, A4, A5, etc. based on the subject's cognitive function test results, questionnaire results, and medical interview results.

[0023] Next, the cognitive function test, questionnaire, and interview will be described. First, the cognitive function test will be described.

[0024] Fig. 5 is a diagram showing an overview of a cognitive function test using the activity support device 50. As shown in Fig. 5, the cognitive function test includes an orientation task, a delayed recognition task, a forward recitation task, a backward recitation task, a Stroop task, a calculation task, a mental rotation task, and the like.

[0025] The orientation task involves, for example, displaying the message "Please enter today's date," asking the subject to enter today's date, and then checking whether the entered date is correct.

[0026] In a delayed recognition task, the subject is shown several pictures and asked to remember them, and then asked to answer a completely different task.The subject then returns to the original task and is shown several pictures and asked to answer whether they are the pictures they saw first, and the subject's answer is tested to see if it is correct.

[0027] The forward task involves answering numbers in the order they are displayed, and the test is to determine whether the answer is correct. The backward task involves answering numbers in the reverse order of the displayed numbers, and the test is to determine whether the answer is correct.

[0028] The Stroop task involves answering what color letters such as "red," "blue," "yellow," "green," and "brown" are painted, and testing whether the subject's answer is correct. For example, if the letter "red" is painted blue, the correct answer is "blue."

[0029] The arithmetic task involves answering simple addition or subtraction problems (e.g., "35-22="), and testing whether the subject's answer is correct or not.

[0030] The mental rotation task involves selecting from multiple drawings of a certain figure, even if they are the same drawing but in different orientations, and testing whether the subject's answer is correct or not.

[0031] It should be noted that the cognitive function test is not limited to the above-mentioned examples, and may include other tasks related to the subject's physical function, motor function, language function, etc. detected by device 10.

[0032] The activity support device 50 can perform a cognitive function test for cognitive function domains (also called "cognitive areas") by conducting a cognitive function test. Cognitive function domains include, for example, memory function, attention function, and executive function. Executive function is also called executive function, and is a function for independently and effectively accomplishing a series of purposeful actions. Note that the cognitive function domain is not limited to the example in FIG. 5, and may include, for example, language function, visual cognitive function, etc. The activity support device 50 can calculate a cognitive ability score for each cognitive function domain based on the results of the cognitive function test.

[0033] FIG. 6 is a diagram illustrating an example of an activity support service recommendation based on the results of a cognitive function test. As shown in FIG. 6A, cognitive scores for the cognitive function domains of memory function, attention function, and executive function are set to 5, 7, and 9 points, respectively. The cognitive score can be expressed as a number between a predetermined upper and lower limit, with a lower score indicating a decline in cognitive ability. As shown in FIG. 6A, for memory impairment due to a decline in memory function (e.g., "not knowing where I put something"), for example, "local government memory loss screening information" can be recommended. For attention disorders due to a decline in attention function (e.g., "not being able to ride a bus or train"), for example, "mobility support service information" can be recommended. For executive dysfunction due to a decline in executive function (e.g., "not being able to operate an ATM"), for example, "regional bank service information" can be recommended. The activity support device 50 may also determine a ranking (display ranking) of activity support services according to the cognitive ability score. In the example of FIG. 6A, the "local government memory loss screening information" for the memory impairment with the lowest cognitive score is ranked first.

[0034] Figure 6B is similar to Figure 6A, but differs in that the cognitive scores for the cognitive function domains of attention, memory, and executive function are 4, 7, and 8, respectively. As shown in Figure 6B, the ranking of "mobility support service information" for attention disorder, which has the lowest cognitive score, is number one.

[0035] As described above, the evaluation information includes test results based on cognitive function tests in multiple cognitive domains for the subject. The control unit 51 can identify one or more pieces of activity support service information based on the test results in the multiple cognitive domains and output the identified activity support service information. This makes it possible to identify activity support services that are highly relevant to the cognitive function domain.

[0036] Furthermore, the control unit 51 can determine the ranking of activity support service information for the subject based on the test results in multiple cognitive function domains (cognitive areas), thereby enabling activity support services that are highly relevant to the cognitive function domain in which function is declining to be presented preferentially.

[0037] Next, the questionnaire will be described.

[0038] FIG. 7 is a diagram illustrating an outline of a questionnaire conducted by the activity support device 50. The contents of the questionnaire may include problems in daily life related to cognitive decline. In the example of FIG. 7, the questionnaire includes questions such as "I would like to check the health status of my brain once," "I would like to know information on how to prevent dementia," "I have made mistakes while shopping and am worried about doing it alone," "I find it difficult to deposit and withdraw money (ATM)," "I have trouble traveling (by bus, train, or car) smoothly," "I have forgotten to turn off the fire or water several times," "I am worried about managing my finances so I would like to organize them," and "I have forgotten where I put my bankbook or seal several times." Note that the contents of the questionnaire are merely an example and are not limited to the example of FIG. 7. For example, questions used to evaluate activities of daily living (ADL) may also be used. Activities of daily living refer to the ability to perform activities required for a person to live their daily life, and include instrumental ADLs such as shopping, preparing meals, managing medication, managing finances, and going out using public transport, as well as basic ADLs such as grooming, eating, defecating, urinating, using the toilet, transferring between positions, moving around, dressing, stairs, and bathing.

[0039] The activity support device 50 can assign a score according to the subject's response to the questionnaire. For example, a response of "Exactly true" can be assigned 4 points, a response of "Exactly true" can be assigned 3 points, a response of "Sometimes true" can be assigned 2 points, and a response of "Never true" can be assigned 1 point. A higher score indicates a greater decline in cognitive function. Note that the scores are merely an example and are not limited to the example shown in FIG. 7.

[0040] FIG. 8 is a diagram showing an example of activity support service recommendations based on survey results. The survey results are composed of the survey content and a score. The score can be expressed as a numerical value between a predetermined upper and lower limit, with a higher score indicating a decline in cognitive ability. As shown in FIG. 8, for example, "Local government memory loss screening information" can be recommended for the survey response "I can't travel smoothly (by bus, train, or car)." For example, "Transportation support service information" can be recommended for the survey response "I can't deposit or withdraw money from my savings." For example, "Local bank service information" can be recommended for the survey response "I can't deposit or withdraw money from my savings." The activity support device 50 may also determine a ranking (display ranking) of activity support services depending on the score. In the example of FIG. 8, "Local government memory loss screening information" is ranked first for the survey response with the highest score.

[0041] Next, the medical interview will be described.

[0042] FIG. 9 is a diagram showing an outline of a medical interview conducted by the activity support device 50. The contents of the medical interview include questions related to cognitive function and daily living functions. In the example of FIG. 9, questions such as "Can you go shopping by yourself?", "Can you take a bath by yourself?", "Can you change clothes by yourself?", "Can you use the toilet by yourself?", and "Can you eat by yourself?" are listed. Note that the contents of the medical interview are merely an example and are not limited to the example of FIG. 9. For example, questions from the DASC-8 (cognitive and daily living function questionnaire) may be used.

[0043] The activity support device 50 can assign a score according to the subject's response to the contents of the medical interview. For example, a response of "I can't do it at all" can be assigned 4 points, a response of "I can't do it very well" can be assigned 3 points, a response of "I can do it mostly" can be assigned 2 points, and a response of "I can do it without any problems" can be assigned 1 point. A higher score indicates a greater decline in daily living function and cognitive function. Note that the scores are merely an example and are not limited to the example shown in FIG. 9.

[0044] FIG. 10 is a diagram showing an example of activity support service recommendations based on the medical interview result. The medical interview result is composed of the medical interview content and a score. The score can be expressed as a numerical value between a predetermined upper and lower limit, and a higher score indicates a decline in daily living functions and cognitive function. As shown in FIG. 10, for example, "Shopping support service information" can be recommended for the answer to the medical interview content "I can't shop alone." For example, "Home delivery service information" can be recommended for the answer to the medical interview content "I can't eat alone." For example, "Day service information" can be recommended for the answer to the medical interview content "I can't bathe alone." The activity support device 50 may also determine a ranking (display ranking) of activity support services depending on the score. In the example of FIG. 10, "Shopping support service information" is ranked first for the questionnaire answer with the highest score.

[0045] When identifying an activity support service based on the cognitive ability score of the cognitive function domain, the scores of the questionnaire results, and the medical interview results, the total score of the cognitive ability score of the cognitive function domain, the scores of the questionnaire results, and the medical interview results is calculated, and the activity support service is identified based on the calculated total score.

[0046] The activity support services shown in Figures 6, 8, and 10 are merely examples and are not limited to the examples in each figure. Activity support services can include services that provide local social resource information (e.g., public services, private services, etc.). Furthermore, social resource information is not limited to local information but may include information provided nationwide. For example, it may include public services provided by municipalities or prefectures, public services provided by the national government, services provided by local companies, and services provided by companies in Japan or overseas. Examples of public services include local government exercise support services to prevent decline in motor function and community support services related to nursing care. Examples of private services include savings and asset management services, property insurance services, and driving consultation and training services.

[0047] As described above, the control unit 51 (activity support device 50) can acquire area information on the subject's activity area, acquire evaluation information on the subject's daily activities, and output activity support service information for the subject based on the acquired area information and evaluation information. This makes it possible to identify high-need items, such as the subject's problems, narrowed down by the evaluation information from the results of the subject's cognitive function test, and provide the subject with activity support to compensate for risks and obstacles in their daily lives.

[0048] Furthermore, the control unit 51 can identify one or more pieces of activity support service information for the subject's activity area from among a plurality of pieces of activity support service information predetermined for each activity area based on the acquired area information and evaluation information, and output the identified activity support service information. This makes it possible to present local social resources that support the subject's risky matters and high-need matters from the subject's residential area.

[0049] The evaluation information includes test results based on a cognitive function test for the subject, and also includes results of a questionnaire or interview regarding the subject's daily life.

[0050] The control unit 51 can also determine the ranking of activity support service information for the subject based on the acquired evaluation information. The control unit 51 can also determine the ranking of activity support service information for the subject based on the results of a questionnaire or medical interview. This makes it possible to predict social resources that are in high demand for the subject and present them in a prioritized manner.

[0051] Fig. 11 is a diagram showing an example of a method for determining the display order of questionnaires by the activity support device 50. The activity support device 50 can estimate the subject's troubles and determine the display order of questionnaires for confirming the troubles based on the cognitive function test results ("high" or "low" in the example of Fig. 11) related to the cognitive function domain (memory, attention, executive function) and the subject information (gender, whether or not the subject lives alone).

[0052] In the example in Figure 11, the contents of the problem questionnaire are exemplified as medical care (wanting to know about brain health), prevention (wanting to prevent dementia), lifestyle (not knowing cooking procedures, near accidents while driving, mistakes while shopping, forgetting to turn off the fire or water, losing bankbook or seal, being unable to withdraw money), and anxiety (worried about the state of savings, insurance in case of dementia). The numbers in the table indicate the order of display.

[0053] As shown in Figure 11, the first questionnaire displayed is "I want to know about brain health," and the second is "I want to prevent dementia," and these are displayed for everyone. The questionnaires displayed from the third onward are determined based on the cognitive function test results for the cognitive function domains (memory, attention, and executive function) and the subject's information (gender and whether they live alone). For example, in case No. 5, the cognitive function test result for the cognitive function domain of attention is "low," so the third questionnaire question is displayed as to whether the subject has ever had a "near miss while driving." In case No. 9, the cognitive function test result for the cognitive function domain of memory is "low," so the third questionnaire question is displayed as to whether the subject has ever made a "shopping mistake."

[0054] As described above, the control unit 51 can set the order of question items in the questionnaire or medical interview about the subject's daily life based on the test results based on the cognitive function test for the subject. This makes it possible to change the display order of the problem questionnaire or medical interview based on the cognitive function test results.

[0055] Next, the learning model 56 will be described.

[0056] Fig. 12 is a diagram showing an example of a method for identifying an activity support service using a learning model 56. The learning model 56 in Fig. 12 is a trained model and can be configured as a neural network, but algorithms such as a decision tree, a support vector machine, a logistic regression, and a random forest can also be used. The learning model 56 includes an input layer, an intermediate layer, and an output layer, and the parameters of the neural network (weights, biases, filter parameters, etc.) are determined by machine learning.

[0057] As shown in FIG. 12, the control unit 51 (activity support device 50) inputs the cognitive ability scores of each cognitive function domain of the subject and the interview results as input data to the learning model 56. The learning model 56 identifies an activity support service for the subject and outputs the identified activity support service as output data. Note that the input data may be only one of the cognitive ability scores of each cognitive function domain of the subject and the interview results. Furthermore, although not shown, the input data may include regional information of the subject. Furthermore, although not shown, a display ranking of activity support services may be estimated.

[0058] FIG. 13 is a diagram showing an example of a method for generating a learning model 56 that identifies an activity support service. The generation method shown in FIG. 13 is the method for generating the learning model 56 of FIG. 12. The cognitive ability scores and interview results (learning input data) for each cognitive function domain of a plurality of subjects, as well as the activity support service (teaching data) provided to each of the subjects, are prepared in advance as training data. The control unit 51 acquires the training data and, based on the acquired training data, generates the learning model 56 so that, when the cognitive ability scores and interview results for each cognitive function domain are input to the learning model 56, the learning model 56 identifies and outputs an activity support service. Specifically, the control unit 51 adjusts the parameters in the learning model 56 so that the activity support service output by the learning model 56 approaches the activity support service as teaching data (so that the value of the loss function based on the learning output data and the teaching data is minimized).

[0059] FIG. 14 is a diagram showing an example of a method for estimating questionnaire results using a learning model 56. As shown in FIG. 14, the control unit 51 (activity support device 50) inputs the cognitive ability score of each cognitive function domain of the subject and the interview results as input data to the learning model 56. The learning model 56 estimates the questionnaire results for the subject and outputs the estimated interview results as output data. Note that the input data may be only one of the cognitive ability score of each cognitive function domain of the subject and the interview results. Note that, although not shown, the display ranking of the questionnaire may also be estimated.

[0060] FIG. 15 is a diagram showing an example of a method for generating a learning model 56 that estimates questionnaire results. The generation method shown in FIG. 15 is the method for generating the learning model 56 in FIG. 14. The cognitive ability scores and interview results (learning input data) for each cognitive function domain of multiple subjects, as well as the questionnaire results (teacher data) for each of the subjects, are prepared in advance as training data. The control unit 51 acquires the training data and, based on the acquired training data, generates the learning model 56 so that when the cognitive ability scores and interview results for each cognitive function domain are input to the learning model 56, the learning model 56 estimates and outputs the questionnaire results. Specifically, the control unit 51 adjusts the parameters in the learning model 56 so that the questionnaire results output by the learning model 56 approach the questionnaire results as teacher data (so that the value of the loss function based on the learning output data and the teacher data is minimized).

[0061] Fig. 16 is a diagram showing an example of a method for estimating a cognitive ability score for each cognitive function domain using the learning model 56. As shown in Fig. 16, the control unit 51 (activity support device 50) inputs the results of the interview of the subject as input data to the learning model 56. The learning model 56 estimates a cognitive ability score for each cognitive function domain for the subject, and outputs the estimated cognitive ability score as output data.

[0062] FIG. 17 is a diagram showing an example of a method for generating a learning model 56 that estimates a cognitive ability score for each cognitive function domain. The generation method shown in FIG. 17 is the method for generating the learning model 56 in FIG. 16. Medical interview results (learning input data) for each of a plurality of subjects and cognitive ability scores (teacher data) for each of the subjects in each cognitive function domain are prepared in advance as training data. The control unit 51 acquires the training data and generates the learning model 56 based on the acquired training data so that, when the medical interview results are input to the learning model 56, the learning model 56 estimates and outputs a cognitive ability score for each cognitive function domain. Specifically, the control unit 51 adjusts the parameters in the learning model 56 so that the cognitive ability scores for each cognitive function domain output by the learning model 56 approach the cognitive ability scores for each cognitive function domain as the teacher data (so that the value of the loss function based on the learning output data and the teacher data is minimized).

[0063] FIG. 18 is a diagram showing an example of a method for identifying questionnaire content using the learning model 56. As shown in FIG. 18, the control unit 51 (activity support device 50) inputs the cognitive ability scores of each cognitive function domain of the subject as input data to the learning model 56. The learning model 56 identifies the content of the questionnaire for the subject and outputs the identified questionnaire content as output data. Although not shown, the display ranking of the questionnaire may also be estimated.

[0064] FIG. 19 is a diagram showing an example of a method for generating a learning model 56 that identifies the content of a questionnaire. The generation method shown in FIG. 19 is the method for generating the learning model 56 of FIG. 18. The cognitive ability scores (learning input data) for each cognitive function domain of multiple subjects and the content of the questionnaire for each subject (teacher data) are prepared in advance as training data. The control unit 51 acquires the training data and generates the learning model 56 so that, when the cognitive ability scores for each cognitive function domain are input to the learning model 56 based on the acquired training data, the learning model 56 is designed to identify and output the content of the questionnaire. Specifically, the control unit 51 adjusts the parameters in the learning model 56 so that the content of the questionnaire output by the learning model 56 approaches the content of the questionnaire as the teacher data (so that the value of the loss function based on the learning output data and the teacher data is minimized).

[0065] Next, regional analysis information of subjects for each regional information (residential district, address, etc.) will be explained.

[0066] Figure 20 is a diagram showing an overview of regional analysis information. Regional analysis information can be generated by setting predetermined conditions (selection conditions) for subject information and evaluation information regarding the subjects' daily activities, and based on the number of subjects (population) that meet the set conditions. Subject information includes the subject's age, gender, and whether they live alone or not. Evaluation information includes cognitive function test results (e.g., cognitive ability scores for each cognitive function domain), questionnaire results (e.g., scores for the questionnaire content), and interview results (e.g., scores for the interview content).

[0067] As shown in Figure 20, if the selection criteria are set as "over 70 years old & male & living alone & cognitive function test results below a certain score & unable to move around smoothly & unable to shop alone," the proportion of the population of eligible people in each residential area who meet the set selection criteria can be generated as regional analysis information.

[0068] Furthermore, if the "average cognitive ability score in the cognitive function domain" is set as a selection condition, the average cognitive ability score in the cognitive function domain for each residential area can be generated as regional analysis information.

[0069] Furthermore, if the selection condition is set to "average score of medical interview results," the average score of medical interview results for each residential area can be generated as regional analysis information. Furthermore, if the selection condition is set to "average score of questionnaire results," the average score of questionnaire results for each residential area can be generated as regional analysis information.

[0070] Figure 21 is a diagram showing an example of a method for displaying regional analysis information. Figure 21 shows the population percentage of subjects who meet the selection criteria for each residential district. In the example of Figure 21, the population percentage is divided into 0-10%, 11-20%, 21-30%, and 31% or more. The population percentage is the ratio of the number of subjects who meet the criteria to the population of each residential district. Note that regional analysis information may be displayed using a gradation on a map, as shown in Figure 21, or as a bubble chart or various graphs. Residential districts can be any administrative division, such as municipalities or prefectures. Analysis can be performed by residential district (district), making it possible to take an appropriate approach to areas that are in greater need of activity support services.

[0071] As described above, the control unit 51 can store subject information for multiple subjects, area information on the areas where the multiple subjects are active, and evaluation information on the daily activities of the multiple subjects, accept conditions for selecting the subject information and evaluation information, and output area analysis information on subjects that meet the accepted conditions. This makes it possible to understand the status of subjects on an area-by-area basis, to understand what kind of activity support service is needed in which area, and to provide appropriate activity support services to areas that need the activity support services.

[0072] FIG. 22 is a diagram showing an example of an operation by a subject using the subject terminal device 20. FIGS. 22A to 22D show display screens displayed on the subject terminal device 20. In FIG. 22A, regional information about the subject's area of ​​activity is input. Specifically, a message such as "Please enter your residential area (area of ​​activity)" is displayed, and the subject can input their own regional information. Alternatively, a message such as "Please read the two-dimensional code" is displayed, and the subject scans a predetermined two-dimensional code to identify the regional information. Although not shown, the regional information may be identified based on the location information of the subject terminal device 20 using a location information detection function provided in the subject terminal device 20, or may be identified by transitioning from an operation screen for a specific area of ​​the subject terminal device 20 in advance.

[0073] Once the area information is entered, a message such as "We will conduct a simple cognitive function test. Please answer according to the instructions on the screen" will be displayed, as shown in Figure 22B, and the subject can follow the instructions on the screen to conduct the cognitive function test. Here, the subject can perform a cognitive function self-check.

[0074] After the cognitive function test is completed, a message such as "Please answer the questionnaire / medical interview" is displayed, as shown in Figure 22C. The subject can select the answer that best suits them from multiple response options for the questionnaire and medical interview. In the example of Figure 22C, for the statement "I would like to check the health of my brain once," the subject can select one of four options: "Absolutely true," "True," "Sometimes," or "Never." Obtaining the questionnaire and medical interview results allows the subject to confirm the issues they wish to resolve and narrow down the issues they most need. It is also possible to have the subject answer either the questionnaire or the medical interview. The order of the questions in the questionnaire or medical interview may also be determined based on the cognitive function results.

[0075] After completing the questionnaire and medical interview, a message such as "Here are the activity support services we recommend for you" is displayed, as shown in Figure 22D. The recommended activity support services are displayed along with their rankings: 1. Memory checkup, 2. Transportation service, and 3. Local bank service. By operating the "Details" icon, details of each service can be displayed.

[0076] The control unit 51 can set the order of questions in a questionnaire or medical interview about the subject's daily life based on the test results in multiple cognitive function domains (cognitive areas), display the questionnaire or medical interview with the set order of questions, and accept responses to the questionnaire or medical interview. This allows the question items to be prioritized based on the correlation between cognitive function results and problems.

[0077] 23 is a diagram showing an example of a processing procedure by the activity support device 50. The control unit 51 acquires area information of the subject's activity area (S11), displays the contents of the cognitive function test on the subject terminal device 20, and acquires the cognitive function test results according to the subject's answers (S12). The control unit 51 identifies cognitive ability scores for multiple cognitive function domains based on the cognitive function test results (S13).

[0078] The control unit 51 displays the contents of the questionnaire on the subject terminal device 20 and acquires the questionnaire results according to the subject's answers (S14). The control unit 51 displays the contents of the medical interview on the subject terminal device 20 and acquires the medical interview results according to the subject's answers (S15).

[0079] The control unit 51 identifies one or more activity support services from among multiple activity support services predetermined for each activity area by narrowing down the items that are most in demand by the subject based on the acquired cognitive ability score, questionnaire results, and medical interview results (S16), outputs (displays) the identified activity support services (S17), and ends the processing.

[0080] As described above, according to this embodiment, it is possible to link instrumental living activities that are highly relevant to cognitive function domains, and to predict risk items for each individual (each subject's region) based on the cognitive function domain in which function is declining and the individual's background information, and to predict, prioritize, and present social resources that are in high demand. Furthermore, it is possible to present local social resources that support risk items based on the individual's residential region.

[0081] (Appendix 1) The computer program causes a computer to execute the following process: acquire regional information about the subject's activity area; acquire evaluation information about the subject's daily activities; and output activity support service information for the subject based on the acquired regional information and evaluation information.

[0082] (Appendix 2) In Appendix 1, the computer program causes a computer to execute a process of identifying one or more pieces of activity support service information in the subject's activity area from among multiple pieces of activity support service information predetermined for each activity area based on the acquired area information and evaluation information, and outputting the identified activity support service information.

[0083] (Supplementary Note 3) The computer program causes a computer to execute a process in Supplementary Note 1 or Supplementary Note 2 to determine a ranking of activity support service information for the subject based on the acquired evaluation information.

[0084] (Appendix 4) In the computer program according to any one of Appendices 1 to 3, the evaluation information includes test results based on a cognitive function test performed on the subject.

[0085] (Supplementary Note 5) In the computer program according to any one of Supplementary Note 1 to Supplementary Note 4, the evaluation information includes the results of a questionnaire or interview regarding daily life of the subject.

[0086] (Appendix 6) In any one of Appendices 1 to 5, the computer program causes a computer to execute a process in which the evaluation information includes test results based on cognitive function tests in multiple cognitive domains for the subject, and the computer identifies one or more pieces of activity support service information based on the test results in the multiple cognitive domains, and outputs the identified activity support service information.

[0087] (Appendix 7) The computer program causes a computer to execute a process in which, when evaluation information regarding a subject's daily activities is input in any one of Appendices 1 to 6, the acquired evaluation information is input into a learning model that outputs activity support services for the subject, and activity support service information for the subject is output.

[0088] (Appendix 8) The computer program in Appendix 6 causes a computer to execute the following processes: based on test results in the plurality of cognitive domains, set an order of questions in a questionnaire or interview about daily life for the subject; display the questionnaire or interview in which the order of questions has been set; and accept responses to the questionnaire or interview.

[0089] (Supplementary Note 9) The computer program in Supplementary Note 6 or Supplementary Note 8 causes a computer to execute a process of determining a ranking of activity support service information for the subject based on test results in the multiple cognitive domains.

[0090] (Appendix 10) The computer program in any one of Appendices 1 to 9 causes a computer to execute a process of setting the order of questions in a questionnaire or interview regarding the subject's daily life based on test results based on a cognitive function test for the subject.

[0091] (Appendix 11) A computer program according to any one of Appendices 1 to 10 causes a computer to execute a process of storing subject information of a plurality of subjects, area information of areas where the plurality of subjects are active, and evaluation information regarding the daily activities of the plurality of subjects, accepting conditions for selecting the subject information and the evaluation information, and outputting area analysis information regarding subjects that meet the accepted conditions.

[0092] (Appendix 12) The activity support device includes a control unit, which acquires regional information about the subject's activity area, acquires evaluation information regarding the subject's daily activities, and outputs activity support service information for the subject based on the acquired regional information and evaluation information.

[0093] (Appendix 13) The activity support method acquires regional information on the subject's activity area, acquires evaluation information regarding the subject's daily activities, and outputs activity support service information for the subject based on the acquired regional information and evaluation information.

[0094] The matters described in each embodiment can be combined with each other. In addition, the independent claims and dependent claims described in the claims can be combined with each other in any combination, regardless of the reference format. Furthermore, although the claims use a format in which a claim references two or more other claims (multiple claim format), this is not limited to this format. A multiple claim (multi-multi claim) that references at least one other multiple claim may also be used. [Explanation of symbols]

[0095] 1. Communication Network 10 devices 20. Target person terminal device 30 Data Server 50 Activity support equipment 51 Control section 52 Communications Department 53 Memory 54 Memory section 55 Computer Programs 56 Learning Model

Claims

1. Obtain local information on the target person's area of ​​activity, obtaining assessment information regarding the subject's daily activities; outputting activity support service information for the subject based on the acquired regional information and evaluation information; A computer program that causes a computer to perform a process.

2. Identifying one or more pieces of activity support service information for the subject's activity area based on the acquired area information and evaluation information from among a plurality of pieces of activity support service information predetermined for each activity area; Outputting the identified activity support service information; 2. The computer program according to claim 1, which causes a computer to execute a process.

3. determining a ranking of activity support service information for the subject based on the acquired evaluation information; 2. The computer program according to claim 1, which causes a computer to execute a process.

4. The evaluation information includes test results based on a cognitive function test for the subject. A computer program according to any one of claims 1 to 3.

5. The evaluation information includes the results of a questionnaire or interview regarding the subject's daily life, A computer program according to any one of claims 1 to 3.

6. the assessment information includes test results based on cognitive function tests in a plurality of cognitive domains for the subject; Identifying one or more pieces of activity support service information based on the test results in the plurality of cognitive domains; Outputting the identified activity support service information; 4. A computer program according to claim 1, which causes a computer to execute a process.

7. When evaluation information regarding the subject's daily activities is input, the acquired evaluation information is input into a learning model that outputs activity support services for the subject, and activity support service information for the subject is output.

4. A computer program according to claim 1, which causes a computer to execute a process.

8. determining an order of questions to be asked in a questionnaire or interview regarding daily life of the subject based on the test results in the plurality of cognitive domains; Displaying a questionnaire or medical interview in which the order of the question items is set, Accepting responses to the questionnaire or medical interview; 7. A computer program according to claim 6, which causes a computer to execute a process.

9. determining a ranking of activity support service information for the subject based on test results in the plurality of cognitive domains; 7. A computer program according to claim 6, which causes a computer to execute a process.

10. Setting the order of questions in a questionnaire or interview regarding the subject's daily life based on the test results based on the cognitive function test for the subject; 4. A computer program according to claim 1, which causes a computer to execute a process.

11. storing subject information of a plurality of subjects, area information of areas where the plurality of subjects are active, and evaluation information regarding the daily activities of the plurality of subjects; accepting conditions for selecting the subject information and the evaluation information; Output regional analysis information for subjects who meet the accepted conditions.

4. A computer program according to claim 1, which causes a computer to execute a process.

12. A control unit is provided, The control unit Obtain local information on the target person's area of ​​activity, obtaining assessment information regarding the subject's daily activities; outputting activity support service information for the subject based on the acquired regional information and evaluation information; Activity support equipment.

13. Obtain local information on the target person's area of ​​activity, obtaining assessment information regarding the subject's daily activities; outputting activity support service information for the subject based on the acquired regional information and evaluation information; Activity support methods.

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